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一个免费的智能手机应用程序的同时有效性和可靠性,用于评估跳跃高度
Amândio Dias1,2,3, Paulo Pires4,5, Leandro Santana6
1Egas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Caparica, 2829-511 Almada, Portugal.
Journal of functional morphology and kinesiology
|September 23, 2024
概括
移动应用VertVision显示高有效性和可靠性测量跳跃性能,与接触平台相比较. 虽然它适合评估跳跃,但它对式跳跃有轻微的估计误差.
科学领域:
- 体育科学 运动科学 运动科学
- 生物力学 生物力学
- 人类运动分析 人类运动分析
背景情况:
- 跳跃测试评估在使用各种设备的物理测试中至关重要.
- 评估跳跃性能需要准确可靠的测量工具.
研究的目的:
- 评估 VertVision 跳跃性能测量的移动应用程序的有效性和可靠性.
- 将 VertVision 的跳跃高度测量与标准接触平台进行比较.
主要方法:
- 38名娱乐活跃的大学生进行了反运动跳跃 (CMJs) 和式跳跃 (SJs).
- 使用接触平台和VertVision移动应用程序测量跳跃高度.
- 数据分析涉及两名经验丰富的观察员,以确保可靠性.
主要成果:
- 对于两种跳跃类型,VertVision与接触平台显示出强烈的相关性 (ICC>0.9).
- 观察者之间的可靠性很高 (ICC>0.9),测量的典型误差很低.
- 与反移动跳跃 (0.73-3.09%) 相比,式跳跃 (4.1-6.03%) 的估计误差略高一些.
结论:
- VertVision移动应用程序是评估跳跃表现的有效和可靠工具.
- 它为跳跃分析提供了传统接触平台的方便替代方案.
- 当使用 VertVision.com 时,存在轻微的估计错误,特别是在式跳跃时.
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